Triple

T9426287
Position Surface form Disambiguated ID Type / Status
Subject Speak Now E227271 entity
Predicate track P17929 FINISHED
Object Dear John
"Dear John" is a six-minute country-pop ballad by Taylor Swift widely noted for its confessional lyrics about a toxic relationship and emotional manipulation.
 E798212 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dear John | Statement: [Speak Now, track, Dear John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dear John
Context triple: [Speak Now, track, Dear John]
  • A. Dear John
    Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
  • B. Dear John
    Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
  • C. Dear John Letter
    "Dear John Letter" is a song from Whitney Houston's 2002 album "Just Whitney," reflecting themes of heartbreak and the end of a relationship.
  • D. Dear Friend
    "Dear Friend" is a song by the American rock band Wild Life.
  • E. Dear One
    "Dear One" is a song from the musical "Kiss of the Spider Woman," known for its emotional depth and contribution to the show's dramatic narrative.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dear John
Triple: [Speak Now, track, Dear John]
Generated description
"Dear John" is a six-minute country-pop ballad by Taylor Swift widely noted for its confessional lyrics about a toxic relationship and emotional manipulation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dear John
Target entity description: "Dear John" is a six-minute country-pop ballad by Taylor Swift widely noted for its confessional lyrics about a toxic relationship and emotional manipulation.
  • A. Dear John
    Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
  • B. Dear John
    Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
  • C. Dear John Letter
    "Dear John Letter" is a song from Whitney Houston's 2002 album "Just Whitney," reflecting themes of heartbreak and the end of a relationship.
  • D. Dear Friend
    "Dear Friend" is a song by the American rock band Wild Life.
  • E. Dear One
    "Dear One" is a song from the musical "Kiss of the Spider Woman," known for its emotional depth and contribution to the show's dramatic narrative.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107da6aa88190a015ee4a6eea2a4a completed April 4, 2026, 12:45 p.m.
NEDg Description generation batch_69d1087d01b08190aa4d17241244c26c completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d109042fec819087371150d2c2cf87 completed April 4, 2026, 12:50 p.m.
Created at: March 30, 2026, 7:49 p.m.